Respuesta :
The true value of m is 45, and H0 is not rejected, than the correct decision is Type II.
condition:-
H0: m = 45 VS H0: m ≠ 45
The true value of m = 45
H0 is not rejected, & H0 is not rejected.
∴ here we not reject the when H0 is not true hence is is a type II error.
H0 is rejected.
∴ Here we reject the H0 when H0 is true hence it is a type I error
A type II error occurs if one fails to reject the null hypothesis when the alternative is True.
A type I blunders is a fake high-quality end, whilst a kind II errors is a false bad conclusion. making a statistical decision always includes uncertainties, so the risks of creating those mistakes are unavoidable in speculation trying out.
A type I error is a type of fault that takes place throughout the hypothesis checking out process when a null hypothesis is rejected, although it is correct and must no longer be rejected.
Decision error confer with the probability of creating a wrong conclusion while doing hypothesis checking out. when a researcher sets out to do a examine, she usually has a speculation, or a prediction of what she thinks the effects will be.
Learn more about type of error here:-https://brainly.com/question/11472659
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